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Optimal scheduling of active distribution networks based on multi-scenario fuzzy set based charging station resource prediction

Zhang Maosong Zhang Chunyu Hao Shi Yang Jie Yang Lingxiao Wang Xiuqin

高技术通讯（英文版）2026，Vol.32Issue(1)：97-108,12.

高技术通讯（英文版）2026，Vol.32Issue(1)：97-108,12.DOI:10.3772/j.issn.1006-6748.2026.01.010

Optimal scheduling of active distribution networks based on multi-scenario fuzzy set based charging station resource prediction

Zhang Maosong ¹Zhang Chunyu ¹Hao Shi ¹Yang Jie ²Yang Lingxiao ³Wang Xiuqin¹

作者信息

1. School of Electrical Engineering and Automation,Anhui University,Hefei 230601,P.R.China
2. State Grid Hubei Electric Power Co.,Ltd.Economic and Technological Research Institute,Wuhan 430000,P.R.China
3. School of Artificial Intelligence,Anhui University,Hefei 230601,P.R.China
折叠

摘要

关键词

charging station resource prediction/subtractive optimizer algorithm/multi-sce-nario fuzzy set/two-stage optimal scheduling/distribution network cost optimization

Key words

charging station resource prediction/subtractive optimizer algorithm/multi-sce-nario fuzzy set/two-stage optimal scheduling/distribution network cost optimization

引用本文复制引用

Zhang Maosong,Zhang Chunyu,Hao Shi,Yang Jie,Yang Lingxiao,Wang Xiuqin..Optimal scheduling of active distribution networks based on multi-scenario fuzzy set based charging station resource prediction[J].高技术通讯（英文版）,2026,32(1):97-108,12.

基金项目

Supported by the Technology Project of State Grid Corporation Headquarters(No.5100-202322029A-1-1-ZN),the 2024 Youth Science Founda-tion Project of China(No.62303006) （No.5100-202322029A-1-1-ZN）

高技术通讯（英文版）

ISSN：1006-6748

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